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Related Experiment Videos

Achieving maximum ROI from corporate databases: exploiting your databases with integrated querying for better

L F Jardine1, A O Krassavine, A W R Payne

  • 1Intellidos Ltd., Harwell Innovation Centre, 173 Curie Avenue, Harwell, Didcot, Oxford Shire, OX11 OQG, UK. lewis.jardine@intellidos.com

Combinatorial Chemistry & High Throughput Screening
|February 16, 2006
PubMed
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Pharmaceutical companies struggle with declining new molecular entity discovery despite data integration investments. This study presents a novel solution for accessible, integrated knowledge, improving drug discovery efficiency without IT expertise.

Area of Science:

  • Drug Discovery
  • Biotechnology
  • Data Science

Background:

  • Pharmaceutical and biotech industries invest heavily in research databases to accelerate drug discovery.
  • Despite significant investment, the rate of New Molecular Entity (NME) discovery is declining.
  • Effective data integration is crucial for deriving value and knowledge from research data.

Purpose of the Study:

  • To address the limitations of current data integration and search tools in drug discovery.
  • To propose a solution that transforms integrated data into accessible knowledge.
  • To enable efficient exploration and complex querying of structured data for scientific users.

Main Methods:

  • Examining the background and challenges of corporate data exploitation in drug discovery.

Related Experiment Videos

  • Investigating the requirements for effective utilization of integrated research data.
  • Presenting a novel solution for data accessibility and knowledge extraction.

    • Main Results:

    • Current data integration solutions often fall short in providing accessible knowledge.
    • Restrictive or free-text search tools are inadequate for large, structured datasets.
    • A novel approach is proposed to enable browsing, exploration, and ad-hoc searching of integrated data.

    Conclusions:

    • Accessible knowledge, not just integrated data, is essential for the business case of data gathering.
    • A user-friendly, context-aware solution is needed to overcome current data accessibility barriers.
    • The proposed solution aims to be maintainable by in-house administrators, reducing reliance on external consultants.